Om AI - 联汇科技
Om AI (Lianhui Technology) is a Chinese AI firm behind VLX, an edge-deployed multimodal model for perception and decision-making in physical AI hardware.
Om AI, whose Chinese corporate name is Lianhui Technology, is a China-based artificial intelligence company focused on multimodal AI models for intelligent terminal devices. The company's official website, om-ai.com, describes it as positioning itself as a leading enterprise in the terminal AI segment, built around a proprietary technology stack it calls VLX, an edge-side multimodal model foundation designed to run directly on intelligent devices rather than depending solely on cloud inference.
Om AI's VLX platform is described by the company as combining visual perception, spatial memory, and decision execution capabilities intended to give a range of smart terminal devices more autonomous, human-like cognitive behavior. According to industry coverage from July 2026, Om AI launched a VLX product series described as the first edge-based streaming multimodal model built specifically for physical AI applications, meaning AI models intended to perceive and act in the physical world through embodied devices such as robots, cameras, or other smart hardware, rather than purely text or image-based generative AI used in cloud settings.
Earlier coverage from July 2026 also characterized Om AI as a pioneer of continuous-perception physical AI models, emerging amid a broader surge in early-2026 Chinese venture funding directed at physical AI and embodied-intelligence companies. This suggests Om AI is positioned within a competitive and well-funded segment of China's AI industry that is distinct from general-purpose large language model providers, focusing specifically on perception and decision-making models deployable on edge hardware with constrained compute compared with cloud data centers.
Because the company's website is a JavaScript-rendered single-page application, this profile was unable to independently retrieve the company's founding date, headquarters address, contact details, funding history, or customer list from primary sources during this research pass; these fields have been left blank pending further verification. Based on its confirmed technology focus, edge-deployed multimodal perception and decision models for smart terminal and embodied AI hardware, Om AI's activities align with the software and algorithm segment of the robotics and AI industry, specifically machine perception and control software for physical AI systems, rather than manufacturing robot hardware itself.
Primary type & automation activities this supplier delivers:
VLM-R1
- Launch Year: 2025
Open-source vision-language model for embodied AI agents deployable on robot dogs, drones and cameras; released February 2025.
VLX-Go
- Launch Year: 2026
Edge-side action model in the VLX series that converts visual understanding directly into robot waypoints and motion trajectories, 0.6B-10B parameters.
Company Facts
Founded
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Primary Role
Software/Algorithm
Company Size
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Primary Region
Asia-Pacific
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JD.com founder Richard Liu announced the company's initiative to eliminate technology barriers by opening its full-stack self-developed AI to global partners. This move is part of JD's broader strategy to enhance its logistics capabilities and foster collaboration in the AI sector. The company's significant investment in research and development, which increased by 53.2% in the first half of the year, underscores its commitment to building the world's largest embodied data collection center. By open-sourcing its EgoLive and JoyAI models, JD.com aims to drive innovation and efficiency in logistics through advanced robotics. Looking ahead, JD.com is set to deploy its robots across logistics operations, enhancing its service capabilities. No further timeline was disclosed at the time of publication.
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Logistics Robotics autonomous delivery Autonomous robots delivery robots Field Foundation Models
Global Robotics Industry Could Demand 363 TWh of Electricity by 2035
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Energy Robotics artificial intelligence china china state grid data centres
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Terafab, a semiconductor megafactory, is being developed collaboratively by Tesla, SpaceX, and Intel, aiming to produce over one terawatt of AI compute annually. Announced by Elon Musk on March 21, 2026, the facility will be located in Grimes County, Texas, with an initial investment exceeding $16.8 billion. The significance of Terafab lies in Musk's vision to control the silicon supply chain, as he believes current global chip production is insufficient for the needs of Tesla, SpaceX, and xAI. Unlike traditional fabs, Terafab will integrate all stages of chip production in one location, allowing for rapid design iterations and testing without the delays of shipping wafers internationally. Looking ahead, Musk's long-term objective for Terafab includes achieving one million wafer starts per month and producing between 100 and 200 billion custom AI and memory chips annually. However, it is important to note that Terafab is not a single legal entity for investment, and the partnership details between Tesla and SpaceX remain to be finalized.
Countdown to the 2026 World Robot Conference: Key Events and Themes Overview
The upcoming World Robot Conference will focus on cutting-edge technologies, application scenarios, industrial ecosystems, and international cooperation. Scheduled from August 19 to 23, the event will feature over 60 activities across four major themes, showcasing the complete landscape of the robotics industry from technological innovation to global collaboration. This conference is significant as it brings together government agencies, research institutions, enterprises, industry organizations, and international bodies to foster discussions, facilitate supply-demand matching, and promote the latest technological advancements. Each breakthrough in robotics technology, from AI models to biomimetic designs, expands the industry's potential. Attendees should watch for discussions on autonomous design, core components, and the integration of robotics into various sectors such as manufacturing, healthcare, and emergency services. The event aims to enhance collaboration across the robotics supply chain and promote international exchanges, ultimately driving innovation from the lab to real-world applications. No further timeline was disclosed at the time of publication.
Robotics Technology Innovation International Collaboration Industrial Applications
Satya Nadella Warns Companies Relying on Single AI Models May Not Survive
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AI Enterprise Microsoft Satya Nadella
Tesla Shares Drop 15% After Q2 Report, Wall Street Sees 29% Upside Potential
Tesla (NASDAQ: TSLA) experienced a significant decline of approximately 15% in its stock price following the release of its second-quarter report, closing at $319.69. This drop places the shares near the lower end of a 52-week range, which spans from $297.82 to $498.83. Despite this downturn, Wall Street analysts maintain an average price target of $412, indicating a potential upside of about 29% from Thursday's closing price. The company's revenue for the second quarter of 2026 rose by 26% year over year, reaching $28.2 billion, driven by a record 480,126 vehicle deliveries. This growth marks an acceleration from the previous quarter's 16% increase and pushes Tesla's trailing-12-month revenue past $100 billion for the first time. However, operating income fell by 57% to $398 million, resulting in a reduced operating margin of 1.4% compared to 4.1% a year earlier. Looking ahead, analysts continue to express optimism about Tesla's future, driven by expectations of high-margin software, a scaled robotaxi network, and returns from AI investments. The significant gap between the current stock price and the average price target reflects a belief in Tesla's long-term potential, despite the challenges faced in the recent quarter. No further timeline was disclosed at the time of publication.
Google and Tesla Experience Major Market Losses Amid Supplier Gains in AI Sector
This week, Alphabet and Tesla faced significant market losses, with Alphabet's stock dropping 8% and Tesla's falling 18%, resulting in a combined loss of approximately $580 billion in market value. Alphabet's capital spending surged to nearly $45 billion, leading to negative free cash flow for the first time since going public. Tesla's revenue growth was overshadowed by disappointing earnings and a decline in operating margin. The market's reaction highlights a growing concern over the sustainability of heavy investments in artificial intelligence by major tech firms. While Alphabet and Tesla struggled, their suppliers, including Supermicro Computer and Digital Realty, saw substantial gains, reflecting a shift in investor confidence towards companies directly benefiting from AI spending. Supermicro reported over $60 billion in new orders, while Digital Realty experienced a record leasing backlog. Looking ahead, the focus will be on how Alphabet and Tesla adjust their spending strategies in response to market pressures. No further timeline was disclosed at the time of publication, but the contrasting fortunes of these tech giants and their suppliers may influence future investment decisions in the AI landscape.
Genisom AI Showcases Comprehensive Robotics Solutions at WAIC 2026
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Quadrupedal Robots Humanoid Robots Industrial Automation AI Robotics
Japanese Drone Stocks Experience Surge as Investors Diversify from AI and Defense
Japanese drone companies are witnessing a significant influx of investment as military demand for unmanned systems rises. Investors are increasingly looking for alternatives to artificial intelligence stocks and traditional defense stocks that had previously gained popularity. This shift indicates a growing interest in the drone sector, which is becoming a focal point for investment in Japan. The surge in investment is crucial as it highlights the potential of the drone industry amidst geopolitical tensions and the evolving landscape of defense technology. Companies like Terra Drone are emerging as key players in the Tokyo market, attracting attention from investors eager to capitalize on the expanding military applications of drones. This trend reflects a broader movement towards diversification in investment portfolios. Looking ahead, the drone industry is expected to continue its upward trajectory as demand for unmanned systems grows. Investors should monitor developments in regulatory frameworks and technological advancements that could further influence the market. No further timeline was disclosed at the time of publication.
Solar Installation Robots Reach Infrastructure Scale in 2025
Solar installation robots are scaling from pilots to infrastructure-grade automation in 2025, reshaping EPC productivity, labor economics, and utility-scale PV construction.
